A New Dataset for Geospatial Visual Localisation: egenioussBench
Determining a camera’s pose from images – known as visual localisation- is fundamental to applications from autonomous driving and robotics to augmented reality, yet existing datasets face two key issues. They either lack the scale needed for large-scale scenes, limiting progress towards truly scalable methods. Second, when they do cover large scenes, they often provide imprecise ground truth poses for the query image data. egenioussBench overcomes these limitations by pairing a high-resolution aerial 3D mesh and a CityGML LoD2 model as geospatial referee data and a map-independent ground-level smartphone imagery with centimetre-accurate poses obtained via PPK and GCP/CP-aided adjustment as query data.
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New Editor-in-Chief of the ISPRS Open Journal of Photogrammetry and Remote Sensing (IOJPRS)
We are pleased to announce that, as of 1 January 2026, Dr. Martin Weinmann will assume the role of Editor-in-Chief of the ISPRS Open Journal of Photogrammetry and Remote Sensing (IOJPRS).
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ISPRS Open Journal of Photogrammetry and Remote Sensing has been selected for inclusion in the Web of Science
ISPRS is proud to announce that the ISPRS Open Journal of Photogrammetry and Remote Sensing has been selected for inclusion in the Web of Science™.
All articles published after January 21, 2021 will be indexed in the Emerging Sources Citation Index (ESCI).
We would like to warmly thank our Editor-in-Chief, George Vosselman, Associate Editors, Eija Honkavara and Michele Volpi, our authors and reviewers, as well as Elsevier, our publisher, for this remarkable achievement accomplished in such a short time.